Volume 11 | Issue 5

 Abstract

Objective: to study the changing trends in female sterilization, its importance in population control, to analyse the effect of different parameters on acceptance of sterilization, to study the complications in sterilization procedure. Study Design: Prospective observational study at a tertiary care hospital. Results: In the present study total number of 1600 sterilization studied for different parameters. In this series, majority of cases were in between the age group of 21 to 30 years (88 %), commonest indication (87.37 %) was socioeconomic, with 73.18 % urban acceptance, parity of 3 was largest group of cases (46.87 %),majority (54.87 %) of cases were sterilized in puerperium, Majority of only sterilization procedures (54.87 %) were done under local anaesthesia procedure, most cases (99.68 %) were done by abdominal route, early postoperative complications were seen in 7.76 %. Conclusion: Though female sterilization is a very safe, simple and efficacious procedure. constant effort has to be made for promotion of accepting this procedure which has potential ease and successful reversibility if the couple desires for it.

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Female sterilisation, tubal ligation, Pomeroy's method

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A chatbot is a computer system that can simulate human communication using either spoken or written directions. An intelligence chatbot can be used in the banking sector to deliver information or answer consumer questions. Our intelligent system accepts input from bank customers in text form, processes the query, and delivers a response to the user. The key to our system is artificial intelligence, which automates the thinking, decision-making, and problem-solving processes associated with human cognition. By integrating an artificial brain into the web-based chatbot, the system can interpret input and generate custom responses. If a query is not understood, the system will use a third-party expert system to process the input and archive the response, thus improving the chatbot's capabilities for future generations of responses.

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ANN, chatbot, Machine Learning, NLP, queries, FAQ

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Corporate governance, in particular in today's times where many sectors of the economy are pacing and adapting themselves with the latest advancements in technology, cannot be neglected. The landscape of how the organization used to function has been significantly altered as a result of the introduction of new technologies such as digitalization, robotics, chat bots, and artificial intelligence. The purpose of this article is to explore the effect of respondent characteristics on their use of technology in the banking business and to research the function of corporate administration in assuring the interest of its stakeholders. Both of these goals will be accomplished as a result of reading this paper. The use of technology is an essential component of effective corporate governance, and as such, it will need a significant amount of attention and concentration.

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Block Chain, Artificial Intelligence, Robots.

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Delay differential equation refers to an ordinary differential equation (ODE) with a delay parameter. The term "advanced differential equation" is used to describe an ODE with a forward parameter. The term "differential-difference equation" is used to refer to an ODE that includes both delay and advance parameters. Similar to the usage of "advance" and "delay" words, "positive shift" and "negative shift" appear in the literature. When the highest order derivative is multiplied by a small parameter, the boundary layer phenomenon appears in the solution of the differential-difference equation. The boundary layer is an area where the answer is constantly evolving. These issues are typically addressed by means of perturbation techniques, such as the matched asymptotic expansions and WKB approach. Skill, insight, and experimentation are needed for these asymptotic expansions. As a result, scientists have begun to rely on numerical approaches. Due to the presence of the boundary layer, oscillatory/unsatisfactory solutions are obtained if we apply the existing numerical methods with the step-size greater than the perturbation parameter. In addition, the solution is graphically represented so that the effects of the delay and complex factors may be comprehended. It is noticed from the tables and figures that our quantitative approaches produce very good approximation to the exact solution. In addition to being theoretically simpler and easier to use, these quantitative approaches are also easily adaptable for computer implementation with only a small amount of computing effort.

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Ordinary differential equation (ODE), boundary layer, delay parameter

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Vitamin B12 deficiency is a serious health problem that can result in megaloblastic anemia, pernicious anemia, inhibition of cell division, and neurological disorders. Objective: Our study aims to identify the correlation between the deficiency of vitamin B12 and the hematological parameters, also the prevalence of vitamin B12 deficiency among vegetarian and non-vegetarian people of the city of Gujarat state. Method: Retrospective study undertaken among age varied from 18 to 60 years patients in Gujarat. 100 patients were studied and analyzed. Clinical features, hematological and serological parameters were noted. Result: We have evaluated the clinical picture, hematology indices of 100 patients with reduced vitamin B12 level. In this study secondary data on age, sex, referring unit, religion and dietary history of these patients were obtained from the medical laboratory Gujarat, India. We found the gender is significantly associated with hemoglobin. Vegetarian females have lower hemoglobin level than vegetarian males. Vitamin B12 deficiency is mainly mild to moderate (100 pg/ml-210 pg/ml). Severe B12 deficiency (100 pg/ml) is more involved in the younger age group (<50 years) than the older group (> 50 years). Conclusion: In our study, we concluded that the vegetarians have lower serum vitamin B12 levels compared to non-vegetarians. In present study total 100 patients were included and among them 48% were males and 52% were females. In which 28% males and 32% females were Vitamin B12 deficient. So, it is concluded that prevalence of vitamin B12 deficiency was higher in females as compared to male.

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KEYWORDS: Vitamin B12, cobalamin, deficiency, Megaloblastic anemia, Pernicious anemia

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In the world of finance ,investing is done in order to profit from the asset being put to use . A gain ( profit) or loss generated through the sale of a present or investment , unrealized capital capital loss . Investment income like dividends ,interest , or rental income , or a mix of capital gain and income may all be included in the return .Investment is the use of money to generate income. Investment is the use of money to generate more income . Investment includes both savings and future consumption savings . Investment in income generating plan and generate money by gaining profits. Investment are made with the intention of receiving a favourable return in the future.

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Savings, investment pattern, college students ,

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The main purpose of this study was to assess the impact of sales promotion tools on consumer buying behaviour, taking beer consumers in Delhi NCR as a case study. The study considered four sales promotion tools, 1.The crown prize, 2.Buy one get one free, 3.Price discount and 4.Free sample, to measure the buying behaviour of beer consumers. The research was quantitative by design and the researcher pursued an explanatory study from among the various quantitative methods, as this approach helps explain the relationship between variables. The researcher selected 384beer consumer respondents residing in Delhi NCR, using non-probability (convenience) sampling method, for the purpose of this study. Statistical techniques such as descriptive statistics were used to analyse the quantitative data gathered through questionnaire. And the data was analysed using SPSS software. The Survey signified that, buy one get one free, free sample and price discount exhibited the most significant and positive impact on consumer buying behaviour respectively, from among the four sales promotion tools this study took into consideration. The research also indicated that UTC had the least influence on consumer buying behaviour. Given these results, it is concluded that sales promotions have a significant and positive impact on the buying behaviour of beer consumers. It is also the recommendation of this research that beer manufactures pay due attention to the promotional strategies they make use of, as they may play an important role in shaping consumers' buying behaviour.

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sales promotion tools, buy one get one free, price discount, free sample, and consumer buying behaviour.

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Tamper Proof Device is used to detect any sort of movement or disturbance. This device gives alert when someone interferes with the system in order to cause damage or make unauthorised alterations. This device consists of MPU6050 which is a Micro Electro- mechanical system (MEMS), it consists of three-axis accelerometer and three-axis gyroscope. It helps us to measure velocity, orientation, acceleration, displacement and other motion like features. The security device further includes Radio Frequency Identification (RFID) circuit configured to provide access to the device. The device includes a microcontroller (ESP32D chip), RFID reader and MPU. When there is an unauthorised alteration detected from the device the system activates the interrupt function which will send an alert message to the authorised mobile number and also gives a warning alarm. This system is enabled with deep sleep mode for maximum power savings. Further this can be used to protect embedded system and in military applications. A tamper detection device can determine whether a housing containing a device has been tampered with either by having the housing penetrated or by an attempt to remove a cover from the housing. The tamper detection device may be a capacitor which is placed across a portion of the housing and whose capacitance changes if it is penetrated. The temper detection device may also be a flexible circuit having conductive strips thereon forming a circuit with means to cause an open circuit if the housing is penetrated or the cover removed from the housing.

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ESP-32 Chip, RFID, MPU6050, MEMS

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Today brands are enormous in numbers and not all the brands attain their goal of establishment due to satisfaction of the customers and customer's loyalty towards the brand. Customer satisfaction is a measurement that determines how happy customers are with a company's products and service that the brand provides. Customer loyalty is the outcome of customer satisfaction. This customer loyalty comes from various criteria's of the brand which includes the price, quality, satisfaction of the need. This study identifies that the satisfaction of using the brand impacts the loyalty of not changing the brand or switching over other brands. The research is descriptive in nature. Furthermore, the customer trust impacted by customer satisfaction which proved that customer satisfaction is an antecedent of customer satisfaction, a direct relationship between customer satisfaction and loyalty was observed. The future studies may replicate in other service contexts and comparison of models of government and private banks will give more understanding. The study is mainly developed to find out the relationship between customer satisfaction and customer loyalty. How customer satisfaction impacts the loyalty of customers by not switching to other brands.

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Customer loyalty, Customer satisfaction

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Now a day's cloud computing is used in many areas like industry, military colleges, healthcare, etc. to store huge amounts of data. We can retrieve data from cloud at request of a user. To store data on the cloud we have to face many issues. To provide the solution to these issues there are n number of ways. In Cloud Users can remotely store their data to the cloud & realize the data sharing with others. In Some Common cloud storage system such as the electronic health records system, the cloud file might contain some sensitive information. Encrypting the whole shared file can realize sensitive information hiding, but will make this shared file unable to be used by others. In cloud computing more Sensitive information hiding in cloud. This is very big problem that remote data integrity auditing scheme that realizes data sharing with sensitive information hiding in this cloud. In our System, our scheme makes the file stored in the cloud able to be shared and used by others on the condition that the sensitive information is hidden, while the remote data integrity auditing is still able to be efficiently executed. Meanwhile, the proposed scheme is based on identity-based cryptography, which simplifies complicated certificate management.

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AWS, EC2, Cloud computing, data storage, security, data management.

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Stock markets price prediction is a difficult undertaking that has historically required substantial human-computer cooperation. Because stock prices are interrelated, traditional batch processing techniques cannot be used effectively for stock market research. It is practically impossible to estimate stock prices to the penny due to the unpredictability of the factors that affect price movement. However, an informed estimate of pricing is attainable. The data is provided in the form of corporate stock data, which will be evaluated in real-time. The system produces an output in a graphical form that depicts the predicted future stock price. Hence we have proposed a solution to predict the stock market prices using the machine learning algorithm

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tock market,price prediction,stock market research,machine learning algorithm.

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Campus recruitment is an important process for both students and employers. For students, it offers the opportunity to explore potential career paths, gain valuable work experience, and secure a job after graduation. For employers, it provides access to a pool of talented candidates who are just entering the job market. The campus recruitment process typically involves several steps, including job postings, resume screening, interviews, and job offers. Effective communication between students, colleges, and recruiters is critical at each of these steps to ensure that the process runs smoothly and efficiently. By providing a direct and streamlined means of communication, apps like RecruitMe can help to improve the efficiency of campus recruitment and make it easier for stakeholders to connect and exchange information.

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Campus recruitment, Job postings, Interviews, Job offers, Effective communication, Colleges, Recruiters, Streamlined communication, Information exchange

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The process of identifying a company's strengths and weaknesses is referred to as financial analysis. By determining the relationship between the items on the balance sheet and profit and loss account of the business, the study is completed. The investigation was conducted by examining HCL Technologies' five-year financial statements. The study's primary goals are to determine the company's financial analysis and to assist in determining the company's growth. Secondary data is used in this study. The current ratio, quick ratio, cash ratio, dividend payout ratio, debt to equity ratio, debt to asset ratio, asset turnover ratio, basic earnings per share, and other metrics were employed in the study.

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Financial performance analysis, Ratio analysis.

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 Abstract

Skin is an Extra-ordinary human structure. People frequently suffer from many known and unknown diseases. There are the large number of spread diseases and some of them are the most common disease in the world. The diagnosis of these diseases are very difficult because of its difficulties in skin texture, presence of hair on skin and color. Due to the lack of medical facilities available in the remote areas, patients usually ignore early symptoms which may be worsen the situation as the time progress. The diagnosis of skin Disease also take longer time. It is required to develop methods of diagnosis using machine learning in order to increase the accuracy of diagnosis for various types of skin diseases. Machine learning techniques are widely used in medical fields for diagnosis. These algorithms use feature values from images as input to make a decision. The process consists of three stages-The feature extraction stage, the training stage and the testing stage. The process makes use of machine learning technology to train itself with the various skin images. The objective of this process is to increase accuracy of skin disease detection. Three important features in image classification are texture, color, shape, and combination of these. In this work, color and texture features are used to classify the skin disease. Normal skin color is different from the skin with disease. Smoothness, coarseness, and regularity is effectively identified using texture features in the images. Hence, these two features are explored to identify skin disease effectively. In this work, entropy, variance and maximum histogram value of Hue-Saturation-Value(HSV) features are used. These features are used to build machine learning algorithm by using Decision Tree(DT)and Support Vector Machine(SVM). At first level, entropy measure is used to split the tree. At second level, variance is used to get leafs for textures. In color features, maximum histogram value of HSV measure is used to split the tree. Accuracy is used to test the performance of the proposed algorithm.

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Skin Diagnose machine learning SKINDISEASE,CNN,IMAGE CLASSICICATION

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 Abstract

The world is in chaos. Stress, anarchy, social evils, unrest, war, strife and a struggle for existence are continually on the rise. Lord Krishna in Bhagavad Gita Verse 3.31 says that yadyadacaratisreshthatadtadevatarojanah, sayatpramanamkurutelokas tad anuvartate(whatever action a great man performs, common men follow. And whatever standards he sets by exemplary acts, all the world pursues) (Prabhupada2003). According to Trichy and Cohen (2002), 'in a competitive environment, organizations need leaders who can determine the direction; who can redirect the organizational energies and decide what needs to be done.' Are our current world leaders are exhibiting the right principles on which to lead one's life and setting the right examples? Ancient scriptures such as the Ramayana and the Mahabharata (which includes the Bhagavad Gita), amongst other wisdom, contain Life Management principles based on which mankind can lead happy, successful and fulfilling lives. If leaders make a thorough study of these principles, explain them in society and follow the principles, the world would be a much better place. This paper strives to dive deep into our ancient scriptures and explore the principles of life management which act as a solid foundation for long term development and prosperity. The extant literatures have explored the principles such as human capital development, stress management and copying strategy, and management principles from Bhagavad Gita (Chandekar, 2012;Verma and Singh 2014;Satpathy 2008).This study intends to have an in-depth study of Bhagavad Gita to clearly bring out the Life Management principles useful for our day to day life. The paper utilizes the methodology of Hermeneutics to scrutinize several editions (authors) of the Bhagavad Gita including Bhagavad Gita As It Is interpreted by Prabhupada (2003) to arrive at the principles. Following are some principles drawn from the Bhagavad Gita: o Stress is inevitable in this world, but suffering is an option. Those who are spiritually strong develop the quality of absorbing pain without being disturbed. o Ati sarvatra vivarjitah. Excess of anything is bad. The Gita says in Verse 6.17 that one can mitigate all miseries by performing Yoga and by being regulated in one's habits of eating, sleeping, recreation and work. o The Art of Working is to work with knowledge and detachment as one's duty towards the Supreme. Verse 2.47 describes the art of working in this world. o Instead of focusing on too many projects at a time, better to focus on few.

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Karmayoga, Vedic Life Management, Art of Smart Working.

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 Abstract

Helicobacter pylori is a Gram-bad microaerophilic bacterium dispensed at some stage in the acid-secreting gastroduodenal mucosa in human beings. Colonization by using Helicobacter pylori is not itself a ailment, but infection reasons a ramification of medical problems inside the top gastrointestinal tract. Concomitant antibiotic therapy is suggested as first-line treatment. however, the development of resistance to antibiotics, undesirable aspect effects, and the excessive value of treatment make this disorder very difficult to treat successfully. pylori remedy. The look for opportunity naturopathic medicines which are cheaper, free of unwanted side effects, and with ease to be had to most people takes time. A recent have a look at discovered that the usage of medicinal flora can lessen Helicobacter pylori contamination. on this regard, latest reports in Ayurvedic texts point out Sunti (Zingiber officinale), Rasona (Allium sativum), Campiraka (Mallotus philipinensis), Karajaji (Nigella sativa), Chitraka (Plumbago zeylanica), Sarpangka, and so on. i'm right here. It reflects gastroprotective medicinal plant life with giant anti-H. pylori interest. it's miles consequently concluded that the inclusion of herbal antioxidants in the normal day by day weight loss program may be the first-rate remedy for endured protection in opposition to Helicobacter pylori contamination.

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H pylori,ulcers,gasric cancer ,cag A, vac A , eosinophils, neutrophils, mast cells,urease

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This paper aims to address the challenges of creating accurate, concise, and pertinent responses from lengthy content when answering predetermined or generated queries. This research is part of the Explainable AI (XAI) field, which has struggled to find algorithms that balance predictive accuracy with transparency and explainability. While some NLP learning methods prioritize improving prediction accuracy, others like Bayesian belief nets and decision trees excel at promoting transparency and explainability. In addition, pre-trained language models like BERT and GPT need customization using specific datasets to achieve the desired final model. In this research paper, we investigate techniques to enhance the performance of existing KBQA systems and QA generators. We propose an approach that leverages the anatomy of long-form content to improve the quality of the questions and answers generated. Our approach comprises two components: a transformer-based model, DistilBERT, fine-tuned on datasets for the QA task, and a T5-based model coupled with a custom DataCollator to form input batches of dataset elements. Our approach shows promising results on benchmark datasets, outperforming state-of-the-art methods for both KBQA systems and QA generators. Our findings suggest that by considering the structure and semantics of long-form content, we can significantly improve the accuracy and relevance of the generated questions and answers, thereby improving the overall performance of KBQA systems and QA generators. In conclusion, this paper offers techniques to improve the accuracy and pertinence of responses derived from extensive content, contributing to the development of Explainable AI (XAI). By leveraging the structure and semantics of long-form content, our approach shows promise in enhancing the performance of KBQA systems and QA generators, providing an important step towards the creation of more advanced and efficient AI systems.

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Question-Answering system , Context-Question matching , Deep Learning , Seq2Seq Model , LSTM , Attention Mechanism , Encoder , Decoder , NLP, Text analysis

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Good skin care is very important. It help you skin stay in good condition. Skin care help to prevent acne , pimples. There are many skin care products available in market. Herbal skin products are natural product they don't have any adverse effect. Natural products is better than chemical based products. Chemical based products have toxic effect on your skin. (1,13)

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Protective skin Acne, pimple Oils, skin care

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In our day-to-day life we hear a lot of news about fishermen, once out on the sea the fishermen are subjected to various oceanographic and climatic conditions.The fishermen are unable to get the help from the government during emergency situations. This project gives them a solution to get rid of those problems. Neo 7m GPS module is interfaced to monitor the location of the boat all the time.We have also fed the location of the islands in the particular zone, so that they can land safely when the cyclone is severe. We can also use a GSM modules to transfer the message from the land mass or the coastal guards to the fishermen in the boat.In future, ISRO is planning to make marine communication successful with the help of launching a satellite. This helps to communicate their nearby land location to the rescue team or their family members.

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IOT,Thingsspeak,Nodemcu

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 Abstract

ANALYSIS & DESIGN OF RESIDENTIAL BUILDING AGAINST GRAVITY & SEISMIC LOADS USING STAAD PRO SOFTWARE

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ANALYSIS & DESIGN OF RESIDENTIAL BUILDING AGAINST GRAVITY & SEISMIC LOADS USING STAAD PRO SOFTWARE

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Creative Commons Attribution 4.0 and The Open Definition